CN106786552A - 一种本地消纳下的电源选择与容量优化算法 - Google Patents

一种本地消纳下的电源选择与容量优化算法 Download PDF

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CN106786552A
CN106786552A CN201710031814.5A CN201710031814A CN106786552A CN 106786552 A CN106786552 A CN 106786552A CN 201710031814 A CN201710031814 A CN 201710031814A CN 106786552 A CN106786552 A CN 106786552A
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local
photovoltaic
capacity
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dissolving
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牛曙斌
张辉
毛知新
陈卜云
周玉
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Wuxi Gcl Distributed Energy Development Co Ltd
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Wuxi Gcl Distributed Energy Development Co Ltd
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/388—Islanding, i.e. disconnection of local power supply from the network

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  • Business, Economics & Management (AREA)
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  • General Health & Medical Sciences (AREA)
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  • Power Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

本发明涉及到的是一种本地消纳下的电源选择与容量优化算法，设本地全年分时负荷量为L(t)，全年8760小时，Epv(t)为单位装机容量在第t小时内的发电量(kWh),Wpv为光伏的装机容量数，则第t小时的购电量为：En(t)＝L(t)‑Wpv*Epv(t)，这样，光伏发电与大电网间的功率传输为，当ESUM最小时，光伏发电与大电网的能量交换最小，实现本地消纳下的光伏最优配置。

Description

一种本地消纳下的电源选择与容量优化算法
技术领域
本发明涉及一种本地消纳下的电源选择与容量优化算法。
技术背景
根据用户的年度分时负荷曲线，按本地消纳下的光伏容量优化配置计算出最佳光伏配置容量和投资成本，根据配备储能系统的电池类型、DOD放电深度、电池效率等信息和削峰填谷的充放时间要求计算出蓄电池的最佳容量配置和投资成本。
发明内容
本发明提供一种本地消纳下的电源选择与容量优化算法。
为了实现本地可再生能源的充分利用和本地负荷自维持能力达到最大，减少微电网电源对大电网的影响，要求看我再生能源向大电网传输的电能进可能最少。
设本地全年分时负荷量为L(t)，全年8760小时，Epv(t)为单位装机容量在第t小时内的发电量(kWh),Wpv为光伏的装机容量数，则第t小时的购电量为
En(t)＝L(t)-Wpv*Epv(t)
这样，光伏发电与大电网间的功率传输为
当ESUM最小时，光伏发电与大电网的能量交换最小，实现本地消纳下的光伏最优配置。
对于储能系统，设储能的效率为μ，放电深度为DOD％，本地全年分时负荷量为L(t)，一般峰值电价时间为白天有光伏发电的时段，则储能的容量配置为
EBESS＝((L(t)-Epv(t))*n)/η*DOD％
具体实施方式：
一种本地消纳下的电源选择与容量优化算法。
设本地全年分时负荷量为L(t)，全年8760小时，Epv(t)为单位装机容量在第t小时内的发电量(kWh),Wpv为光伏的装机容量数，则第t小时的购电量为
En(t)＝L(t)-Wpv*Epv(t)
这样，光伏发电与大电网间的功率传输为
当ESUM最小时，光伏发电与大电网的能量交换最小，实现本地消纳下的光伏最优配置。
对于储能系统，设储能的效率为μ，放电深度为DOD％，本地全年分时负荷量为L(t)，一般峰值电价时间为白天有光伏发电的时段，则储能的容量配置为
EBESS＝((L(t)-Epv(t))*n)/η*DOD％。

Claims (1)

1.一种本地消纳下的电源选择与容量优化算法，其特征为：设本地全年分时负荷量为L(t)，全年8760小时，Epv(t)为单位装机容量在第t小时内的发电量(kWh),Wpv为光伏的装机容量数，则第t小时的购电量为：
En(t)＝L(t)-Wpv*Epv(t)，
这样，光伏发电与大电网间的功率传输为，
E S U M = Σ t = 1 8760 | E n ( t ) |
当ESUM最小时，光伏发电与大电网的能量交换最小，实现本地消纳下的光伏最优配置；
对于储能系统，设储能的效率为μ，放电深度为DOD％，本地全年分时负荷量为L(t)，一般峰值电价时间为白天有光伏发电的时段，则储能的容量配置为，
EBESS＝((L(t)-Epv(t))*n)/η*DOD％。
CN201710031814.5A 2017-01-17 2017-01-17 一种本地消纳下的电源选择与容量优化算法 Pending CN106786552A (zh)

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CN201710031814.5A CN106786552A (zh) 2017-01-17 2017-01-17 一种本地消纳下的电源选择与容量优化算法

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110390482A (zh) * 2019-07-23 2019-10-29 廊坊新奥泛能网络科技服务有限公司 共建供能设备的选型方法及系统

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2642633A1 (en) * 2010-11-19 2013-09-25 Hitachi, Ltd. Control device for electrical storage device, electrical storage device, and method for charging/discharging electrical storage device
CN104466997A (zh) * 2014-11-28 2015-03-25 广东易事特电源股份有限公司 分层分布式微电网储能电池配置方法
CN105005872A (zh) * 2015-08-06 2015-10-28 北京交通大学 一种移峰填谷的储能系统的容量配置方法
CN105515058A (zh) * 2015-12-24 2016-04-20 东南大学 一种光伏发电参与的功率就地消纳方法

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2642633A1 (en) * 2010-11-19 2013-09-25 Hitachi, Ltd. Control device for electrical storage device, electrical storage device, and method for charging/discharging electrical storage device
CN104466997A (zh) * 2014-11-28 2015-03-25 广东易事特电源股份有限公司 分层分布式微电网储能电池配置方法
CN105005872A (zh) * 2015-08-06 2015-10-28 北京交通大学 一种移峰填谷的储能系统的容量配置方法
CN105515058A (zh) * 2015-12-24 2016-04-20 东南大学 一种光伏发电参与的功率就地消纳方法

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
郑凌蔚 等: "并网型可再生能源发电系统容量配置与优化", 《电力系统保护与控制》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110390482A (zh) * 2019-07-23 2019-10-29 廊坊新奥泛能网络科技服务有限公司 共建供能设备的选型方法及系统

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Application publication date: 20170531