JP2021136859A - State clustering coding method in vehicle connection control of charging stand station - Google Patents
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Abstract
Description
本発明はスマート制御及び最適化の技術分野に関し、具体的には、充電スタンドステーションの車両接続制御における状態クラスタリング符号化方法に関する。 The present invention relates to the technical fields of smart control and optimization, and specifically to a state clustering coding method in vehicle connection control of a charging station.
近年、自動車の生産は従来のエネルギーを動力とする自動車から新エネルギー自動車へと移行しており、電気自動車は、新エネルギー自動車が発展する重要な分野として、巨大な潜在的需要と市場を持っている。充電スタンドは電気自動車に充電サービスを提供する重要なインフラ設備であり、電気自動車の市場保有量の大幅な増加に伴い、充電スタンドステーションを建設して、複数の充電スタンドの充電サービスを一括で運営管理する必要がある。風力発電や太陽光発電などの新エネルギーの普及率の増加に伴い、且つそれらの不規則性や間欠性という特性から、電力サービスのスマート性及び適応性を向上させるために、消費者の電力消費をどのようにして効率的に管理しかつ誘導するかが求められている。電気自動車は融通性がある重要な負荷の一つであり、電気自動車の充放電に対して合理的なスケジュール制御を行うことで、その電力消費者が電力市場のスケジュールに関与する潜在力が引き出される。例えば、各レベルのスケジュールセンターはエネルギー負荷予測データに基づいて電力ピークシェービング計画を立て、リアルタイムで電力料金を示すことにより、電気自動車の充電スタンドステーションの電力を合理的に消費するように誘導し、消費者が自発的にピークカットやピークシフトを活用することを促す。 In recent years, automobile production has shifted from conventional energy-powered vehicles to new energy vehicles, and electric vehicles have huge potential demand and markets as an important field for the development of new energy vehicles. There is. Charging stations are an important infrastructure facility that provides charging services to electric vehicles. With the significant increase in the market holdings of electric vehicles, we will build charging station stations and operate charging services for multiple charging stations at once. Need to manage. With the increasing penetration rate of new energies such as wind power generation and solar power generation, and due to their irregularity and intermittentness, consumers' power consumption is to improve the smartness and adaptability of power services. How to efficiently manage and guide the energy is required. Electric vehicles are one of the most flexible and important loads, and rational schedule control over the charging and discharging of electric vehicles unlocks the potential for their power consumers to be involved in electricity market schedules. Is done. For example, the schedule center at each level makes a power peak shaving plan based on the energy load prediction data and shows the power charge in real time to guide the electric vehicle to consume the power of the charging station station reasonably. Encourage consumers to voluntarily take advantage of peak cuts and shifts.
従って、リアルタイムの電力ピークシェービング料金制御において、充電スタンドステーションの電気自動車スマート接続サービスシステムが、リアルタイムの電力ピークシェービング料金及びステーション内のすべての充電スタンドのオンラインサービス状態に基づいて、ランダムに到着する電気自動車の充電サービスリクエストに対して動的に自己適応し、すなわち、サービスに接続させるか否かをどのように制御するかにより、充電スタンドステーションの経済性を向上させ、電力ピークシェービングの要件に適応させることは、今後研究により解決が期待される重要な課題である。しかしながら、そのような車両の接続制御の課題を最適化する際に、充電スタンドステーションの自然な物理的状態に基づいて直接モデル化すると、状態空間の規模が大きくなり、「次元の呪い」の問題が存在し、時空間リソースを占有して、最適化効率及び制御効果に影響を及ぼす。 Therefore, in real-time power peak shaving charge control, the electric vehicle smart connection service system of the charging station station arrives at random based on the real-time power peak shaving charge and the online service status of all charging stations in the station. Dynamically self-adapt to vehicle charging service requests, i.e. improve the economics of charging station stations and adapt to power peak shaving requirements by controlling whether or not they connect to the service. It is an important issue that is expected to be solved by future research. However, when optimizing such vehicle connectivity control issues, direct modeling based on the natural physical state of the charging stand station increases the size of the state space and the problem of "curse of dimensionality". Exists and occupies spatiotemporal resources, affecting optimization efficiency and control effectiveness.
本発明は、前記従来技術に存在する欠点を解決するために、問題の特徴に基づいて、状態空間の規模を効果的に縮小し、接続制御の最適化における時空間リソースの要件を抑え、最適化効率及び制御効果を向上させることができる、充電スタンドステーションの車両接続制御における状態クラスタリング符号化方法を提供する。 In order to solve the drawbacks existing in the prior art, the present invention effectively reduces the scale of the state space based on the characteristics of the problem, suppresses the requirement of spatiotemporal resources in optimizing the connection control, and optimizes the state space. Provided is a state clustering coding method in vehicle connection control of a charging station, which can improve the efficiency and control effect.
その課題を解決するために、本発明は下記の技術的解決手段を採用する。 In order to solve the problem, the present invention employs the following technical solutions.
本発明が提供する充電スタンドステーションの車両接続制御における状態符号化方法であって、J個の充電スタンドを有し、ランダムに到着するM種類の電気自動車に対して有料充電サービスを提供する充電スタンドステーション・サービスシステムに応用し、各充電スタンドはいずれもM種類の電気自動車の充電必要電力を満たし、1つの充電スタンドは1度に1台の電気自動車に対してのみ充電サービスを提供し、 A state coding method for vehicle connection control of a charging station station provided by the present invention, which has J charging stations and provides a paid charging service for M types of electric vehicles arriving at random. Applied to station service systems, each charging station meets the charging requirements of M types of electric vehicles, and one charging station provides charging service to only one electric vehicle at a time.
前記J個の充電スタンドをそれぞれCS1,CS2,…,CSj,…,CSJと表記し、M種類の電気自動車の充電必要電力をとP1,P2,…,Pm,…,PM表記し、但し、CSjは第j番目の充電スタンドを表し、Pmは第m種類の電気自動車の充電必要電力を表し、
第m種類の電気自動車の電池容量をEmと表記し、但し、m=1,2,…,Mであり、
The J charging stations are referred to as CS 1 , CS 2 , ..., CS j , ..., CS J, respectively, and the required power for charging M types of electric vehicles is P 1 , P 2 , ..., P m , ... , P M notation, where CS j represents the jth charging station and P m represents the power required to charge the m-th type electric vehicle.
The battery capacity of the m types of electric vehicles is denoted by E m, where, m = 1,2, ..., a M,
前記J個の充電スタンドのt時点での連携状態
Linked state of the J charging stands at time t
従来技術に比べて、本発明は下記の効果を有する。 Compared with the prior art, the present invention has the following effects.
1、本発明は、まず、充電中の各車両が現在のSOCから満充電になるまでに必要な時間を、その充電サービスを提供する充電スタンドの状態、すなわち、サービス時間要件状態または残充電時間状態とすることで、電気自動車の電池の現在充電状態を充電スタンドの状態と見なす従来技術に比べて、充電スタンドのサービス状態の変化状況を直接反映することができる。 1. In the present invention, first, the time required for each charging vehicle to be fully charged from the current SOC is determined by the state of the charging station that provides the charging service, that is, the service time requirement state or the remaining charging time. By setting the state, it is possible to directly reflect the change status of the service state of the charging stand as compared with the conventional technique in which the current charging state of the battery of the electric vehicle is regarded as the state of the charging stand.
2、すべての充電スタンドを連携したサービス時間要求状態を離散化し、離散化された連携サービス時間要件状態として連立し、小さい順に並べ替え、充電スタンドステーションのクラスタリング状態を構成することにより、離散化イベント拡張クラスタリング状態の規模を効果的に減少させて、車両接続制御の最適化効率及び実行効果を向上させる。 2. Discretization event by discretizing the service time request state in which all charging stations are linked, arranging them as discrete cooperation service time requirement states, sorting them in ascending order, and configuring the clustering state of the charging station stations. Effectively reduce the scale of the extended discretization state to improve the optimization efficiency and execution effect of vehicle connection control.
3、本発明が提供する状態クラスタリング符号化方法は、電気自動車の充放電に関する他の状況にも応用できる。 3. The state clustering coding method provided by the present invention can be applied to other situations related to charging and discharging of electric vehicles.
本実施例において、図1に示すように、充電スタンドステーションの車両接続制御における状態クラスタリング符号化方法は、J個の充電スタンド1、M種類のランダムに到着する電気自動車2、電力ピークシェービング料金計画3及び接続制御センター4からなる充電スタンドステーション・サービスシステムに応用され、各充電スタンドはいずれもM種類の電気自動車の充電電力の必要を満たすことができる。
In this embodiment, as shown in FIG. 1, the state clustering coding method in the vehicle connection control of the charging station is J charging stations 1, M types of randomly arriving
第j番目の充電スタンドをCSjと表記し、1度に1台の電気自動車のみに充電サービスを提供する。J個の充電スタンドをそれぞれ、CS1,CS2,…,CSj,…,CSJ、j=1,2,…,Jと表記する。 The jth charging station is referred to as CS j, and charging service is provided to only one electric vehicle at a time. The J charging stands are written as CS 1 , CS 2 ,…, CS j ,…, CS J , j = 1,2,…, J, respectively.
システム決定時間を、任意の電気自動車が到着する時間、すなわち、イベントが発生する時間と定義する。
The system decision time is defined as the time when any electric vehicle arrives, that is, the time when an event occurs.
該充電スタンドステーションの車両接続制御における初期状態符号化方法は、
The initial state coding method in the vehicle connection control of the charging station is
該充電スタンドステーションの車両接続制御における状態クラスタリング符号化方法は、
The state clustering coding method in the vehicle connection control of the charging station is
充電スタンドステーションの車両接続制御プロセスは、
車両の到着イベントの発生を待ち、イベントが発生すると、ステップ8.2に移行するステップ8.1と、
The vehicle connection control process of the charging station station
Waiting for the arrival event of the vehicle, and when the event occurs, step 8.1 to move to step 8.2, and
ステップ8.1へ移行するステップ8.6と、を含む。 Includes step 8.6, which proceeds to step 8.1.
Claims (1)
前記J個の充電スタンドのt時点での連携状態を
前記充電スタンドステーションの車両接続制御における状態クラスタリング符号化方法は、
ことを特徴とする充電スタンドステーションの車両接続制御における状態符号化方法。
In the state coding method for vehicle connection control of charging station stations, it is applied to charging station station service systems that have J charging stations and provide paid charging services for M types of electric vehicles that arrive randomly. , Each charging station meets the charging requirements of M types of electric vehicles, and one charging station provides charging service to only one electric vehicle at a time.
The state of cooperation of the J charging stands at time t
The state clustering coding method in the vehicle connection control of the charging station is
A state coding method in vehicle connection control of a charging station station.
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